Spotter
Spotter empowers top YouTube creators to accelerate their business and unleash their full creative potential by giving them access to the capital, knowledge, and community they need to succeed at scale$1. .$1
51 - 200
Senior Backend API Software Engineer
April 5
🏢 In-office - Los Angeles
Spotter
Spotter empowers top YouTube creators to accelerate their business and unleash their full creative potential by giving them access to the capital, knowledge, and community they need to succeed at scale$1. .$1
51 - 200
Description
• Design and develop RESTful APIs for internal data consumers using performant API frameworks such as Python Django, NodeJS or similar • Ensure optimal latency, authentication, and scalability of Spotter Data API. Follow API server best practices and standards • Implement and maintain backend transactional databases and document stores, ensuring data integrity and consistency • Work closely with the data engineering team to understand existing datasets that need to be queried via API endpoints • Work with various database systems (Postgres, Elastic Search, DynamoDB, CockroachDB, vector databases, data warehouses) and data lake technologies, applying optimization techniques for scalable queries • Explore new scalable solutions to meet our growing needs • Work with product engineering team to learn about the upcoming needs • Benchmark existing solutions periodically to ensure low latency, make recommendations when needed
Requirements
• Bachelor’s degree, preferably in Computer Science, Computer Engineering, or similar technical or engineering discipline • 6+ years of software engineering experience • 4+ years of backend engineering experience using frameworks such as Django to serve large scale datasets • 3+ years of experience running software and services in the cloud • Proficiency with SQL on RDBMS and data warehouse solutions like Redshift • Proficiency with maintaining fault tolerant systems in production • Advanced proficiency in Python or JVM based programming language • Advanced knowledge of cloud platforms such as AWS, GCP or Azure • Additional Valued Skills: • Experience with YouTube APIs and YouTube/video performance data • Experience with data acquisition from external APIs at large scale / in parallel processing • Experience with Data-Lake technologies • Experience with vector databases • Experience with AWS Glue metastore • Experience with Data-Mesh approaches • Experience with data cataloging, data lineage and data governance tools and approaches
Benefits
• Medical and vision insurance covered up to 100% • Dental insurance • 401(k) matching • Stock options • Complimentary gym access • Autonomy and upward mobility • Diverse, equitable, and inclusive culture, where your voice matters.
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